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R46.log
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node33.podcluster
< M A T L A B (R) >
Copyright 1984-2021 The MathWorks, Inc.
R2021b Update 1 (9.11.0.1809720) 64-bit (glnxa64)
November 2, 2021
[Warning: Unrecognized command line option: nospxlash.]
To get started, type doc.
For product information, visit www.mathworks.com.
>> Starting parallel pool (parpool) using the 'local' profile ...
Connected to the parallel pool (number of workers: 40).
>> Number of workers: 40
>> >> >> >> >> -------------------------------------------------------------------------------------------
## BIGMACS: Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals
-------------------------------------------------------------------------------------------
## Stack construction algorithm is now running...
# Initializing...
Data are loaded successfully.
Initializing the age samples...
Done.
# Stacking algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [1.38 3.56797 2.10827 7.11322 4.20689 9.77138 6.62662 0.00536249 7.29845 3.023 7.1787 48.1351 14.3334 11.3963 3.61963 2.96513 27.6217 1.46668 14.9882 10.655 3.57263 12.6314].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.46372 0.11755 -0.011728 0.53391 -0.012146 0.44476 -0.03538 -0.083592 0.22196 0.15845 0.033853 -0.18204 0.11133 0.083334 0.098811 0.14268 2.8384 -0.015932 4.2666 0.58336 0.07407 -0.056387].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.030858 -0.012584 0.022688 -0.053098 0.073677 -0.10127 -0.55308 -0.082261 -0.63848 -0.093258 0.29982 -0.0031984 0.047755 0.035501 0.15549 0.0089295 -0.4425 -0.10486 -0.13993 -0.055781 0.16655 -0.22329].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.02504 0.0099194 0.0069195 0.046161 -0.00062851 -0.22241 0.025334 0.10407 0.0011968 -0.50126 -0.10126 -0.0081504 -0.96619 -0.01095 -0.0078164 -0.39394 0.036677 0.0043331 0.94192 0.043921 0.0028234 0.081279].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.17461 -0.14263 0.076548 -0.059384 -0.0051295 0.25826 -0.068335 -0.27944 -0.024625 0.15288 0.072943 0.22583 0.013892 -0.068299 -0.0075238 0.48778 0.076028 0.00084062 0.0084948 -0.075144 -0.096402 0.0065657].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.23229 0.28525 0.16412 0.14289 0.21202 -0.18968 0.25336 0.21272 -0.70908 0.080047 1.3592 0.022642 0.94047 0.84123 -0.1158 -0.12729 0.042857 0.49624 1.9076 0.57327 0.32956 -0.05169].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.043202 0.12182 -0.041025 0.11457 -0.010296 -0.332 0.24281 0.1345 -0.57042 -0.24043 -0.00011852 0.4203 0.10182 -0.15383 0.0096932 0.47435 0.13269 -0.012081 -0.017002 0.059748 0.13246 0.077286].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.03019 -0.052296 -0.040887 0.23098 -0.037454 -0.094799 0.0072514 0.32004 -0.071794 0.15064 -0.0029741 0.49752 0.12151 -0.16555 0.0052727 0.47542 -0.067173 -0.0042199 0.026297 0.043866 -0.025192 -0.017074].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.095524 -0.028407 -0.26966 -0.0060688 0.10328 -0.12808 -0.15393 0.20327 -0.032456 0.20146 -0.0079116 -0.046173 -0.39703 0.012433 0.024539 0.069277 -0.093098 0.05937 0.082719 0.10084 0.089851 0.0028084].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0022303 -0.012439 0.12929 -0.0088068 -0.075708 0.050354 0.28601 0.037195 -0.20208 0.12522 -0.085136 0.022901 0.034307 0.0042619 0.12644 0.060229 0.0022773 -0.061172 -0.14497 0.12781 0.051634 -0.024781].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.15183 0.1481 0.0053634 -0.22756 0.037647 0.1677 0.12492 0.046303 -0.025982 -0.22282 0.058641 -0.044552 -0.32289 -0.019454 -0.0076029 -0.088494 -0.14236 -0.081917 0.0011664 -0.0088218 0.020006 0.017926].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031491 -0.13837 0.091924 -0.36406 -0.18227 -0.11282 0.058485 0.020807 -0.0071158 -0.030108 0.00017019 0.14324 -0.13796 -0.062313 0.023568 -0.22867 0.54785 0.019445 -0.02202 -0.4489 -0.27448 0.035712].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0048557 -0.052485 -0.044196 -0.11282 0.063855 -0.34463 0.28554 0.19058 -0.036873 -0.26487 -0.32774 0.067491 -0.11763 0.006353 0.11969 -0.0058365 0.047703 -0.08957 -0.0016153 0.028234 -0.49515 -0.00059664].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0074048 0.18179 -0.24552 0.0075999 -0.11715 -0.0049377 0.2356 -0.14404 0.0020904 0.91964 0.15429 -0.077587 -0.13071 -0.038036 0.010606 -0.7383 -0.1053 0.19918 0.45114 0.13553 -0.10398 -0.039039].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.34809 -0.10875 -0.024745 -0.021964 0.1542 -0.074419 0.013287 0.27992 0.087545 -0.070756 0.14304 0.35747 0.1967 -0.066921 -0.0080923 0.022084 0.027914 0.013562 -0.040155 0.15501 0.05182 0.0095184].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.0053513 0.14638 0.029055 -0.28533 0.07424 0.029041 0.030678 0.28436 0.038349 -0.36757 0.018435 -0.16131 0.012613 0.038805 0.10314 -0.086553 0.045996 0.014418 0.0362 0.23097 0.15292 -0.07448].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.29158 0.03948 0.069573 0.17796 -0.11497 0.11633 0.030324 0.066731 -0.36638 -0.21231 -0.15677 0.082559 0.051494 -0.0046797 0.035509 0.2205 -0.024274 0.33548 -0.004952 -0.0090077 0.0074472 0.041371].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
# Iteration 5:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025604 -0.026444 0.035724 -0.18044 -0.004217 -0.013347 -0.015071 -0.023853 0.049903 0.11549 0.088438 -0.012798 0.16568 0.025453 0.024528 -0.039213 0.14166 0.15694 0.010032 -0.10966 0.31244 0.17974].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.031206 -0.015648 -0.25568 0.038147 -0.17077 0.050137 -0.018003 -0.47448 0.13513 -0.08235 -0.016465 -0.31576 -0.10889 0.01837 0.073081 0.096139 -0.41648 0.096329 0.028529 -0.44146 -0.051631 -0.0033311].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.0099674 0.76124 -0.0041873 -0.034754 -0.73017 -0.24559 -0.20479 -0.012901 -0.044352 -0.15642 0.033705 0.015737 -0.038796 0.022943 -0.0041713 0.069197 0.60197 -0.020021 -0.11737 0.094851 -0.55766 0.084857].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [-0.060875 0.2039 -0.029531 0.15457 0.06889 -0.12123 0.025552 -0.15164 -0.057187 0.14097 0.062427 -0.063353 -0.0194 0.014725 -0.67509 0.0090213 0.33679 0.013777 -0.18555 -0.1057 0.18094 -0.095756].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.040408 -0.70178 -0.019816 0.050976 -0.0075871 0.096487 -0.050059 0.099334 0.012242 -0.043618 0.0043433 -0.25885 -0.00025333 -0.0080606 -0.22676 0.0046403 -0.087945 0.031197 0.14083 0.091733 -0.2365 -0.019052].
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.033289 0.44181 0.087919 -0.14224 0.0051517 0.032443 -0.11503 -0.29812 0.0043713 -0.06736 -0.10899 0.22818 0.0059461 -0.0057673 -0.048444 0.0054238 -0.16814 -0.026396 -0.22766 0.025637 0.156 0.16689].
Records are aligned to the target stack.
Iteration 1/10...
Iteration 2/10...
Iteration 3/10...
Iteration 4/10...
Iteration 5/10...
Iteration 6/10...
Iteration 7/10...
Iteration 8/10...
Iteration 9/10...
Iteration 10/10...
A new stack is updated.
Done.
# Age model construction algorithm is now running...
# Iteration 1:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.025833 -0.0092596 -0.019465 0.13175 0.0017798 0.018586 0.19459 0.199 -0.11501 -0.016601 0.029726 0.75118 0.049911 0.033827 -0.15013 0.057299 -0.018875 0.16813 0.16512 -0.1082 0.17787 -0.049274].
# Iteration 2:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.031058 -0.12062 -0.46395 0.010212 0.15289 0.078026 -0.11209 0.2505 -0.20187 0.034045 -0.02525 0.50858 -0.128 -0.015275 0.052078 -0.021835 0.039871 -0.0018441 0.059465 0.10386 0.054409 -0.016686].
# Iteration 3:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.014105 0.027638 -0.20876 -0.023829 0.11938 -0.0078139 -0.0076906 -0.1178 -0.01252 -0.18395 -0.022667 0.1636 0.20637 0.0037881 -0.12394 -0.022599 -0.082366 -0.071181 0.051814 -0.032752 0.010539 0.012353].
# Iteration 4:
Ages are sampled.
Parameters are updated.
Updating parameters makes the average log-likelihood of samples increased by [0.05208 0.2679 -0.0049477 0.0070141 -0.11039 -0.015983 0.11308 0.0036652 -0.050711 -0.0030788 -0.48345 -0.1895 0.0082311 0.010781 -0.13569 -0.0017377 0.27012 -0.059385 0.0049478 -0.037538 -0.011369 -0.059442].
# Parameters are learned. Sampling algorithm is now running...
-------------------------------------------------------------------------------------------
# Results and figures are being stored...
Done.
Results and figures are stored in Outputs/R46_d18O_stack.
-------------------------------------------------------------------------------------------
>>